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Azure Machine Learning Studio VS Hadoop

Compare Azure Machine Learning Studio VS Hadoop and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Azure Machine Learning Studio logo Azure Machine Learning Studio

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing
  • Azure Machine Learning Studio Landing page
    Landing page //
    2021-08-03
  • Hadoop Landing page
    Landing page //
    2021-09-17

Azure Machine Learning Studio videos

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Azure Machine Learning Studio

More videos:

  • Review - Introduction to Microsoft Azure Machine Learning Studio & Services

Hadoop videos

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What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

Category Popularity

0-100% (relative to Azure Machine Learning Studio and Hadoop)

Azure Machine Learning Studio

Hadoop

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Databases
0 0%
Databases
100% 100
Machine Learning
100 100%
Machine Learning
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Azure Machine Learning Studio and Hadoop. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Azure Machine Learning Studio and Hadoop

Azure Machine Learning Studio Reviews

We have no reviews of Azure Machine Learning Studio yet.
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Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
Source: www.datacamp.com
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
Source: www.analytixlabs.co.in
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high-availability, the library itself is...
Source: www.analyticsinsight.net

Social recommendations and mentions

Based on our record, Hadoop should be more popular than Azure Machine Learning Studio. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Azure Machine Learning Studio mentions (2)

  • What are all possible FREE Machine Learning integrations with Power BI?
    Machine Learning studio https://studio.azureml.net/ but this will be discontinued in Dec 01,2021 :(. Source: over 2 years ago
  • Stumbling into BI as a job role and need advice
    Advanced analytics, predictive modeling: You can't go passed learning R or Python if you're that way inclined.. however, if you're a GUI monkey like me, I have had a fair amount of success using https://studio.azureml.net/ it's free at base level :). Source: almost 3 years ago

Hadoop mentions (15)

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What are some alternatives?

When comparing Azure Machine Learning Studio and Hadoop, you can also consider the following products

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Pega Platform - The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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